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TL;DR
Ass assumptions about using random assignment and/or comparison communities as means to control for confounding variables are weakened when the unit of analysis is the community itself and dependent measures are subject to trending and the effects of history.
Abstract
This article provides recommendations and observations about evaluation of a locally based prevention project to reduce problems at a total community or aggregate level. The shift from targeting specific individuals or subpopulations to the overall structure and environment of a community is most demanding. Evaluation tools and analysis techniques have lagged behind program development because community-level interventions are not linked to a specific target group who can be separately studied. Thus assumptions about using random assignment and/or comparison communities as means to control for confounding variables are weakened when the unit of analysis is the community itself and dependent measures are subject to trending and the effects of history.